Senior AI Architect for Multi-Cloud Agentic GenAI Platform

Accenture PLC

Irving (TX)

Presencial

USD 150.000 - 350.000

Jornada completa

14 días+

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Descripción de la vacante

Accenture PLC is seeking an AI/ML Senior Architect to deliver full-stack AI architecture across public, private, and sovereign clouds. You will define AI strategy, architect reference solutions, and deliver agent frameworks using GenAI, foundation models, and knowledge/data engineering.

Responsibilities include designing multi-agent architectures, governance, security, and observability, and guiding engineering teams from ideation to production deployment. Travel may be required.

Formación

  • 12+ years in Python/Java or equivalent
  • 6+ years with AI technologies from cloud providers/open source
  • 4+ years delivering large-scale AI/ML solutions on major public cloud
  • 2+ years with agentic orchestration tools and MLOps/LLMOps practices
  • Experience with AI platforms (Claude/Open-source) and multi-agent architectures
  • Bachelor’s degree or equivalent (12 years) or 6 years if Associate degree

Responsabilidades

  • Architect enterprise-ready AI agent systems across cloud environments
  • Lead architecture workshops and finalize requirements and TCO
  • Evaluate technologies for full-stack AI platforms and build financial models
  • Design architectural blueprints for multi-agent and knowledge layers
  • Architect scalable, secure governance and observability across platforms
  • Lead AgentOps/LLMOps, AI governance and security practices
  • Drive reusable components and patterns across engagements
  • Stand up custom agent frameworks across providers (Bedrock, Claude)

Conocimientos

Python
Java
Observability
AI Technologies
Cloud
Agentic AI
GenAI
LLMOps
LangGraph
CrewAI
AutoGen
Bedrock
Anthropic Claude

Educación

Bachelor's degree or equivalent

Herramientas

LangGraph
CrewAI
AutoGen
Claude
Bedrock

Descripción del empleo

Accenture PLC is seeking an AI/ML Senior Architect to deliver full-stack AI architecture across public, private, and sovereign clouds. You will define AI strategy, architect reference solutions, and deliver agent frameworks using GenAI, foundation models, and knowledge/data engineering.

Responsibilities include designing multi-agent architectures, governance, security, and observability, and guiding engineering teams from ideation to production deployment. Travel may be required.

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